2 papers
stat.AP2025
Covariance Supervised Principal Component Analysis
Theodosios Papazoglou, Guosheng Yin
Principal component analysis (PCA) is a widely used unsupervised dimensionality reduction technique in machine learning, applied across various fields such as bioinformatics, compu…
stat.AP2025
Estimating the Complier Average Causal Effect in Randomised Controlled Trials with Non-Compliance: A Comparative Simulation Study of the Instrumental Variables and Per-Protocol Analyses
Theodosios Papazoglou, Ed Waddingham, Alastair Young
Objective: Randomised controlled trials (RCTs) are widely considered as gold standard for assessing the effectiveness of new health interventions. When treatment non-compliance is…